Data Mining & Analytics Analyst | SQL, Python, Tableau

Charm Connect; Denmark; On-site; DKK 92,000 - 110,000; Full time

Job summary

Charm Connect is seeking a Data-mining Analyst to extract, organize, and analyze large datasets to uncover actionable insights. The role requires strong analytical skills, attention to detail, and the ability to think critically.

You will collaborate with cross-functional teams to translate business needs into data-driven solutions and communicate findings effectively through visualizations and reports. Responsibilities include extracting data from diverse sources, applying statistical methods,

Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics or related field.
• Proven experience in data mining or analytics.
• Strong knowledge of SQL, Python, R, or other languages used in data analysis.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Excellent analytical skills with the ability to think critically and solve complex problems.

Responsibilities

• Extract clean and organize large datasets from various sources.
• Conduct data analysis using statistical methods and tools.
• Identify patterns and trends in the data to provide actionable insights.
• Create visualizations and reports to effectively communicate findings.
• Collaborate with teams to identify business needs and provide data-driven solutions.
• Monitor data quality and integrity to ensure accurate results.
• Stay updated on industry trends and advancements in data mining techniques.

Skills

SQL

Python

R

Data mining

Analytics

Education

Bachelor's degree in CS/Math/Stats

Tools

Tableau

Power BI

Job description

Charm Connect is seeking a Data-mining Analyst to extract, organize, and analyze large datasets to uncover actionable insights. The role requires strong analytical skills, attention to detail, and the ability to think critically.

You will collaborate with cross-functional teams to translate business needs into data-driven solutions and communicate findings effectively through visualizations and reports. Responsibilities include extracting data from diverse sources, applying statistical methods,